Triple

T17125912
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 222 E415593 entity
Predicate abbreviation P43 FINISHED
Object SR 222
SR 222 is a state highway in Maine that connects the city of Bangor with the town of Corinna.
 E1251324 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SR 222 | Statement: [Maine State Route 222, abbreviation, SR 222]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 222
Context triple: [Maine State Route 222, abbreviation, SR 222]
  • A. SR 221
    SR 221 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • B. SR 224
    SR 224 is a state highway in Georgia that serves as a regional connector route through central parts of the state.
  • C. SR 224
    SR 224 is a state highway in Washington that serves as a regional connector route in the south-central part of the state.
  • D. SR 228
    SR 228 is a state highway in Florida that serves as a key route through the Jacksonville area, connecting local roads with major interstates and urban destinations.
  • E. SR 225
    SR 225 is a state highway in Maine that serves as a short connector route between local communities in the central part of the state.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SR 222
Triple: [Maine State Route 222, abbreviation, SR 222]
Generated description
SR 222 is a state highway in Maine that connects the city of Bangor with the town of Corinna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 222
Target entity description: SR 222 is a state highway in Maine that connects the city of Bangor with the town of Corinna.
  • A. SR 221
    SR 221 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • B. SR 224
    SR 224 is a state highway in Georgia that serves as a regional connector route through central parts of the state.
  • C. SR 224
    SR 224 is a state highway in Washington that serves as a regional connector route in the south-central part of the state.
  • D. SR 228
    SR 228 is a state highway in Florida that serves as a key route through the Jacksonville area, connecting local roads with major interstates and urban destinations.
  • E. SR 225
    SR 225 is a state highway in Maine that serves as a short connector route between local communities in the central part of the state.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:36 a.m.